Naming scheme

wg1.0.e == “western gesture 1, condition 0, eastern viewer culture” eg4.2.w == “eastern gesture 4 condition 2, western viewer culture”

Part One: Overlapping Metaphors!?!?

Load ‘N’ Wrangle

Western Participants

Load these bad larrys (straight from mTurk template)

Also load these buggerinos (from psytoolkit template)

Eastern Participants

Spot checks

some things should correlate, others should not. IE the questions that go together should correlate. accessible <–> open confident <–> sure conflict <–> tension dominant <–> control goal <–> worktogether many <–> members

So now we group the metaphor measures by group and facet wrap by that. EZ

Create grouped overlay of correlated questions. Violin plot of question correlations by group (for single conditions of a single gesture)

This graph shows the correlation of the grouped variables. We want them to be highly correlated with each other, and preferably not super correlated with one another. This should hold moreso for the extreme versions of the gestures.

Really could have correlation plot w Q1 on X and Q2 on Y but those don’t look great and we shouldn’t expect them to…

Correlation Matrix of questions

Get wrapped plot of correlations across conditions for same gesture

Violin plots of responses to questions

Density plot?

Regrouping data in a potentially horrifying way. Need to make sure questions make sense…

Group it all together and do it by group but you can also just do it by groups and facet wrap by metaphor measure for indiv question results.

Put it together and how do you do? Bibbity Bobbity BAM.

## Saving 7 x 5 in image

Correlations

Western Gestures, Western/Eastern Participants

Eastern Gestures, Western/Eastern Participants

To get the individual ones (per gesture, say) you can do this to position the w/e side by side.

Cool now access everything as follows: all_dat$overlays[["d0_overlay"]]: the overlayed violin plot of related questions. Illustrates density overlay aka a nice vis of correlation of questions

all_dat$correlation_matrix: the correlation matrices that visualize the above as well.

all_dat$violin_density_question: the violin plot of all question distributions across gesture conditions.

all_dat$violin_density_grouped_overlay: the violin plot of all question distributions across gesture conditions, but overlayed.

all_dat$violin_density_grouped: the violin plot of group distributions across gesture conditions.

all_dat$density_grouped: density plot of group distributions across gesture conditions.

all_dat$density_question: density plot of all question distributions across gesture conditions.

if you want to plot all of the overlays nicely you can do this:

Stats

Pretty, but what does it mean? Well, to determine whether any of these differences are significant (aka, did people interpret different things from each of the different gesture conditions, which, because we, too, are people, we know they did) we need to see what the significant differences between rankings in each gesture and condition are.

Now get those T-Tests done DID.

## Warning in wilcox.test.default(x = c(3L, 4L, 4L, 4L, 5L, 7L, 6L, 1L, 7L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(3L, 4L, 4L, 4L, 5L, 7L, 6L, 1L, 7L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(5L, 3L, 5L, 4L, 4L, 4L, 5L, 4L, 4L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(4L, 2L, 5L, 4L, 2L, 7L, 6L, 5L, 1L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(4L, 2L, 5L, 4L, 2L, 7L, 6L, 5L, 1L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(2L, 5L, 2L, 5L, 2L, 6L, 4L, 5L, 3L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(3L, 3L, 4L, 3L, 4L, 7L, 4L, 7L, 4L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(3L, 3L, 4L, 3L, 4L, 7L, 4L, 7L, 4L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(3L, 4L, 5L, 3L, 4L, 4L, 6L, 5L, 4L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(4L, 4L, 5L, 6L, 4L, 7L, 6L, 3L, 4L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(4L, 4L, 5L, 6L, 4L, 7L, 6L, 3L, 4L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(5L, 5L, 4L, 4L, 5L, 2L, 6L, 5L, 5L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(3L, 6L, 5L, 3L, 4L, 7L, 7L, 3L, 7L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(3L, 6L, 5L, 3L, 4L, 7L, 7L, 3L, 7L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(6L, 4L, 5L, 5L, 6L, 3L, 4L, 4L, 2L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(4L, 6L, 4L, 7L, 4L, 7L, 6L, 6L, 7L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(4L, 6L, 4L, 7L, 4L, 7L, 6L, 6L, 7L, :
## cannot compute exact p-value with ties
## Warning in wilcox.test.default(x = c(4L, 4L, 5L, 4L, 6L, 3L, 6L, 5L, 6L, :
## cannot compute exact p-value with ties
group cond1 cond2 p sig
openness cond2 cond1 0.05197 *
openness original cond2 0.08087 *
conflict cond2 cond1 0.00000 ***
conflict original cond2 0.00000 ***
unity cond2 cond1 0.00000 ***
unity original cond2 0.00011 ***
group cond1 cond2 p sig
openness cond2 cond1 0.02861 *
openness original cond2 0.01653 *
conflict cond2 cond1 0.00000 ***
conflict original cond2 0.00000 ***
unity cond2 cond1 0.00002 ***
unity original cond2 0.00025 ***
group cond1 cond2 p sig
conflict cond1 original 0.00001 ***
conflict cond2 cond1 0.06043 *
control cond1 original 0.09701 *
group cond1 cond2 p sig
conflict cond1 original 0.00007 ***
conflict cond2 cond1 0.04688 *
size cond1 original 0.08259 *
group cond1 cond2 p sig
openness cond2 cond1 0.00234 **
openness original cond2 0.00406 **
control cond2 cond1 0.01833 *
size cond2 cond1 0.01760 *
group cond1 cond2 p sig
openness cond2 cond1 0.00376 **
openness original cond2 0.00756 *
control cond2 cond1 0.01136 *
size cond2 cond1 0.02093 *
group cond1 cond2 p sig
group cond1 cond2 p sig
group cond1 cond2 p sig
conflict original cond2 0.08661 *
unity cond2 cond1 0.00574 *
group cond1 cond2 p sig
conflict original cond2 0.06143 *
unity cond2 cond1 0.00965 *
The above s hows that t tests a nd mann-wh itney-wilcox have the same significance results.

Individual Response Patterns tho

Cool so we have all this but what do individuals actually perceive – multiple interpretations, or one predominant one? Only likert will tell us.

Let’s do this with a PIE CHART BAYBEEEEE

– highly is top 3 for ranked – highly is 5,6,7 for likert - people who ranked X & Y highly - people who ranked X highly (but not Y) - people who ranked Y highly (but not X) - people who did neither

and now for comparing western and eastern:

this is just messy

So here are our ranked ones

PART TWO: BICULTURALISM AT ITS FINEST

Wrangle these bad larries

cool now we have all that data in one place. We need to compare the western and eastern viewers across conditions.

Plot these bad larries.

Easy enough to do stats on means between cultures but baby I wanna see those VIOLIN PLOTSSSSSS.

Can only plot by one thing at a time (i.e. for a single gesture condition then visualize across metaphor measures, or for a single metaphor measure then visualize across conditions. The second doesn’t make sense though….)

## `stat_bindot()` using `bins = 30`. Pick better value with `binwidth`.

## Warning: Computation failed in `stat_bindot()`:
## attempt to apply non-function

## Warning: Computation failed in `stat_bindot()`:
## attempt to apply non-function

## Warning: Computation failed in `stat_bindot()`:
## attempt to apply non-function

## Warning: Computation failed in `stat_bindot()`:
## attempt to apply non-function

## Warning: Computation failed in `stat_bindot()`:
## attempt to apply non-function

## Warning: Computation failed in `stat_bindot()`:
## attempt to apply non-function

Now the plots live in things like wg1_violin_culture_comparisons$c0_violin_comparison

Cool now across I actually don’t think the other comparison makes sense because you’re comparing things across different gestures which defeats the purpose of the visualizations.

So anyway,

Stats

Could do ANOVAs but it doesn’t necessarily make sense since we’re just comparing two groups.

Now all that data lives in things like wg1_total_cultural_comparison_tables$c0_comparison that look like this: WG1-0 (this name isn’t here in the actual version, we just know from the naming scheme)

WG1

groups western_mean eastern_mean p sig
openness 3.710526 4.107143 1.00000
conflict 3.855263 4.160714 1.00000
control 4.210526 3.642857 0.69973
size 4.276316 4.178571 1.00000
certainty 4.921053 4.267857 0.13799
unity 5.105263 4.535714 0.71207
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.900000 3.5000 1.00000
conflict 3.133333 3.9375 0.10881
control 4.416667 3.8125 0.29329
size 4.216667 3.8375 1.00000
certainty 5.166667 3.7750 0.00000 ***
unity 5.400000 4.2750 0.00039 ***
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 2.986111 3.105263 1.00000
conflict 5.888889 4.986842 0.00703 *
control 4.694444 3.934210 0.02556 *
size 4.291667 4.197368 1.00000
certainty 4.625000 4.184210 1.00000
unity 3.625000 4.355263 0.20479
## Saving 7 x 5 in image

WG2

groups western_mean eastern_mean p sig
openness 3.381579 3.78 1.00000
conflict 5.486842 3.94 0.00001 ***
control 4.618421 3.48 0.00168 **
size 4.421053 4.12 1.00000
certainty 4.276316 4.54 1.00000
unity 4.263158 4.54 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.011905 2.937500 0.00014 ***
conflict 4.011905 4.921875 0.02176 *
control 3.892857 4.703125 0.03206 *
size 3.702381 3.406250 1.00000
certainty 4.797619 4.453125 1.00000
unity 4.702381 3.984375 0.03296 *
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.657143 3.051282 0.21780
conflict 4.957143 4.474359 1.00000
control 4.600000 4.076923 0.69852
size 4.171429 3.564103 0.34673
certainty 4.957143 4.307692 0.06013 *
unity 4.928571 4.320513 0.22153
## Saving 7 x 5 in image

WG3

groups western_mean eastern_mean p sig
openness 3.756757 3.722222 1.00000
conflict 3.297297 3.722222 1.00000
control 4.324324 3.666667 0.26782
size 5.027027 4.962963 1.00000
certainty 4.783784 4.259259 0.23807
unity 5.445946 5.000000 0.79275
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.684210 3.500000 1.00000
conflict 3.697368 3.833333 1.00000
control 4.881579 3.727273 0.00099 **
size 4.578947 4.106061 1.00000
certainty 4.500000 4.196970 1.00000
unity 4.907895 4.500000 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.739130 3.800000 0.00338 **
conflict 3.119565 3.950000 0.02874 *
control 3.923913 3.683333 1.00000
size 5.445652 4.833333 0.11437
certainty 4.989130 4.233333 0.00460 **
unity 5.554348 4.600000 0.00010 ***
## Saving 7 x 5 in image

WG4

groups western_mean eastern_mean p sig
openness 4.645161 4.7500 1.00000
conflict 3.145161 3.3250 1.00000
control 3.725807 3.1625 0.46166
size 5.209677 4.6000 0.16060
certainty 4.903226 4.8250 1.00000
unity 5.306452 4.9500 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.659091 4.158537 0.38857
conflict 3.545454 3.780488 1.00000
control 4.045454 3.536585 0.68870
size 5.431818 4.195122 0.00003 ***
certainty 4.954546 4.829268 1.00000
unity 4.954546 4.646342 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.111111 3.783784 1.00000
conflict 3.907407 4.067568 1.00000
control 4.462963 3.351351 0.00091 **
size 4.777778 4.527027 1.00000
certainty 4.444444 4.337838 1.00000
unity 4.740741 4.851351 1.00000
## Saving 7 x 5 in image

WG5

groups western_mean eastern_mean p sig
openness 4.454546 4.214286 1.00000
conflict 2.886364 3.273810 1.00000
control 3.318182 3.297619 1.00000
size 4.454546 3.857143 0.47394
certainty 4.363636 4.178571 1.00000
unity 5.159091 4.857143 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.947368 3.9625 0.01141 *
conflict 3.578947 3.2625 1.00000
control 4.157895 3.4875 0.56558
size 4.684210 3.7375 0.00638 *
certainty 5.078947 3.8125 0.00045 ***
unity 5.894737 4.3375 0.00000 ***
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.270833 4.390625 1.00000
conflict 4.000000 3.578125 1.00000
control 3.916667 3.656250 1.00000
size 4.708333 4.171875 0.32606
certainty 4.479167 4.265625 1.00000
unity 4.875000 4.484375 1.00000
## Saving 7 x 5 in image

EG1

groups western_mean eastern_mean p sig
openness 3.939394 4.000000 1
conflict 3.893939 3.862069 1
control 3.636364 3.189655 1
size 4.303030 4.275862 1
certainty 4.212121 4.465517 1
unity 4.772727 4.862069 1
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.367647 3.166667 1.00000
conflict 4.647059 4.187500 1.00000
control 4.911765 4.229167 0.43542
size 4.529412 3.770833 0.04422 *
certainty 4.617647 4.395833 1.00000
unity 4.691177 4.437500 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.231482 3.685185 0.56295
conflict 4.157407 4.185185 1.00000
control 3.712963 3.277778 1.00000
size 4.379630 4.444444 1.00000
certainty 3.944444 4.092593 1.00000
unity 4.768518 4.648148 1.00000
## Saving 7 x 5 in image

EG2

groups western_mean eastern_mean p sig
openness 3.369565 3.785714 1.00000
conflict 4.445652 3.964286 1.00000
control 4.391304 3.607143 0.61269
size 4.293478 4.214286 1.00000
certainty 4.445652 4.357143 1.00000
unity 4.684783 4.642857 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.978723 3.75000 1.00000
conflict 3.255319 3.96875 0.11945
control 3.712766 3.81250 1.00000
size 4.893617 4.00000 0.01229 *
certainty 4.723404 4.00000 0.01770 *
unity 5.308511 4.68750 0.24359
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.441177 3.452381 1.00000
conflict 4.686274 4.309524 1.00000
control 4.205882 3.714286 1.00000
size 4.666667 4.095238 0.41235
certainty 4.098039 4.309524 1.00000
unity 4.274510 4.452381 1.00000
## Saving 7 x 5 in image

EG3

groups western_mean eastern_mean p sig
openness 3.707317 3.696429 1.00000
conflict 3.317073 4.053571 0.07923 *
control 4.036585 3.946429 1.00000
size 4.707317 4.571429 1.00000
certainty 4.963415 4.714286 1.00000
unity 5.475610 4.982143 0.47833
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.987179 4.142857 1.0000
conflict 4.000000 3.476190 1.0000
control 3.794872 3.571429 1.0000
size 4.717949 4.000000 0.1541
certainty 4.679487 4.785714 1.0000
unity 5.282051 4.880952 1.0000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.988095 3.475 1.00000
conflict 3.178571 4.425 0.00254 **
control 3.904762 3.300 1.00000
size 4.750000 4.275 1.00000
certainty 4.785714 4.150 0.58306
unity 5.547619 4.875 0.22946
## Saving 7 x 5 in image

EG4

groups western_mean eastern_mean p sig
openness 4.206522 3.578947 0.23434
conflict 3.336956 4.157895 0.04647 *
control 4.184783 3.605263 0.97028
size 5.141304 4.315790 0.01705 *
certainty 4.804348 4.578947 1.00000
unity 5.260870 4.315790 0.01021 *
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 4.1875 3.729167 0.78680
conflict 3.9000 3.937500 1.00000
control 4.1625 3.833333 1.00000
size 5.0875 4.208333 0.01834 *
certainty 4.6125 4.916667 1.00000
unity 4.9750 4.791667 1.00000
## Saving 7 x 5 in image

groups western_mean eastern_mean p sig
openness 3.935897 3.600 1.00000
conflict 4.333333 4.000 1.00000
control 4.730769 3.600 0.00316 **
size 4.987179 4.425 0.48959
certainty 4.717949 4.425 1.00000
unity 4.923077 4.400 0.71649
## Saving 7 x 5 in image

Are these powers good enough?

Quick spot check…

Short Answer: yes because we grouped so n = 2n lol. Interestingly, only for the significant differences do we see powers > 0.8. I mean not that interestingly cause like that’s how effect size works but still. Anyway, power is definitely high enough.

Example usage:

cond_power <- calculate_power_for_condition(wg2_total, "conflict", "original")

Then you get a variable called cond_power you can use to see the actual power through cond_power$power. In this case our power is 0.9946474

Analyzing with high/med/low

Now analyze high/med/low

Do some STATS on these puppies.

  1. Tell if proportion between groups are sig.
## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect
## Warning in prop.test(x = c(w$bmedium, e$bmedium), n = c(wsum, esum)): Chi-
## squared approximation may be incorrect
## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

## Warning in prop.test(x = c(w$clow, e$clow), n = c(wsum, esum)): Chi-squared
## approximation may be incorrect

Display these bad puppies now

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 0 *** *** 0.0073 * * 0.0011 ** **
cond1 conflict 0.0346 * 0.4369 0.0023 ** *
cond1 control 6e-04 ** ** 0.0085 * * 0.4706
cond1 unity 1e-04 *** *** 0.0015 ** ** 0.2869
cond1 openness 0.0083 * * 0.052 0.6696
cond1 size 0.5599 0.941 0.6956
cond2 certainty 0.0479 * 0.0661 0.9253
cond2 conflict 0.0085 * * 0.0062 * * 1
cond2 control 0.0033 ** * 0.1239 0.0657
cond2 unity 0.0923 0.5952 0.0091 * *
cond2 openness 0.7084 0.2458 0.4417
cond2 size 0.6396 0.0541 0.0792
original certainty 0.0649 0.3708 0.133
original conflict 0.2814 1 0.2729
original control 0.1572 0.6769 0.3501
original unity 0.1984 0.3548 0.7008
original openness 0.1181 0.4979 0.4425
original size 1 1 1
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 21 39 20 1.483880 3.775000
certainty cond1 western 43 15 2 1.152251 5.166667
conflict cond1 eastern 35 26 19 1.648503 3.937500
conflict cond1 western 15 15 30 1.863718 3.133333
control cond1 eastern 20 43 17 1.459094 3.812500
control cond1 western 33 18 9 1.618659 4.416667
openness cond1 eastern 18 41 21 1.359449 3.500000
openness cond1 western 27 20 13 1.782210 3.900000
size cond1 eastern 27 35 18 1.641578 3.837500
size cond1 western 24 25 11 1.688362 4.216667
unity cond1 eastern 36 33 11 1.542438 4.275000
unity cond1 western 47 9 4 1.520482 5.400000
certainty cond2 eastern 32 32 12 1.457949 4.184210
certainty cond2 western 43 19 10 1.656719 4.625000
conflict cond2 eastern 49 22 5 1.509909 4.986842
conflict cond2 western 61 7 4 1.605936 5.888889
control cond2 eastern 24 38 14 1.359760 3.934210
control cond2 western 41 26 5 1.580149 4.694444
openness cond2 eastern 8 41 27 1.322411 3.105263
openness cond2 western 10 31 31 1.640105 2.986111
size cond2 eastern 33 36 7 1.254536 4.197368
size cond2 western 35 22 15 1.755775 4.291667
unity cond2 eastern 40 23 13 1.572293 4.355263
unity cond2 western 27 18 27 2.058562 3.625000
certainty original eastern 27 22 7 1.394679 4.267857
certainty original western 50 23 3 1.512289 4.921053
conflict original eastern 29 15 12 1.659976 4.160714
conflict original western 31 21 24 1.957576 3.855263
control original eastern 16 25 15 1.611646 3.642857
control original western 32 30 14 1.783747 4.210526
openness original eastern 22 26 8 1.497617 4.107143
openness original western 19 41 16 1.393468 3.710526
size original eastern 26 19 11 1.573729 4.178571
size original western 35 26 15 1.755742 4.276316
unity original eastern 29 19 8 1.662028 4.535714
unity original western 49 19 8 1.747981 5.105263

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 0.0911 0.0188 * 0.5876
cond1 conflict 0.0028 ** * 0.5897 0.0033 ** *
cond1 control 0.0022 ** * 0.2367 0.0187 *
cond1 unity 2e-04 *** ** 0.0025 ** * 0.3689
cond1 openness 1e-04 *** *** 0.7912 0.0011 ** **
cond1 size 0.6072 0.3881 0.808
cond2 certainty 0.0114 * * 0.0905 0.1894
cond2 conflict 0.3227 0.4044 0.8867
cond2 control 0.1787 0.9272 0.1441
cond2 unity 0.0614 0.1094 0.7802
cond2 openness 0.0018 ** * 0.4443 0.0789
cond2 size 0.1245 0.7058 0.2709
original certainty 0.8555 0.586 0.1679
original conflict 3e-04 *** ** 0.1421 0.0018 ** *
original control 6e-04 ** ** 0.6374 5e-04 ** **
original unity 0.8555 0.586 0.1679
original openness 0.5125 0.5387 0.127
original size 0.0631 0.0211 * 0.8278
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 33 26 5 1.356111 4.453125
certainty cond1 western 56 18 10 1.566054 4.797619
conflict cond1 eastern 47 12 5 1.461731 4.921875
conflict cond1 western 40 20 24 2.020939 4.011905
control cond1 eastern 40 19 5 1.421822 4.703125
control cond1 western 30 34 20 1.803730 3.892857
openness cond1 eastern 5 32 27 1.258306 2.937500
openness cond1 western 31 39 14 1.624319 4.011905
size cond1 eastern 15 29 20 1.519385 3.406250
size cond1 western 24 31 29 1.808812 3.702381
unity cond1 eastern 19 34 11 1.339180 3.984375
unity cond1 western 52 23 9 1.519193 4.702381
certainty cond2 eastern 34 35 9 1.379890 4.307692
certainty cond2 western 46 21 3 1.387686 4.957143
conflict cond2 eastern 44 20 14 1.641383 4.474359
conflict cond2 western 46 13 11 1.906782 4.957143
control cond2 eastern 36 25 17 1.703848 4.076923
control cond2 western 41 21 8 1.627660 4.600000
openness cond2 eastern 9 36 33 1.357016 3.051282
openness cond2 western 24 27 19 1.684419 3.657143
size cond2 eastern 25 29 24 1.499695 3.564103
size cond2 western 32 23 15 1.809567 4.171429
unity cond2 eastern 36 32 10 1.445940 4.320513
unity cond2 western 44 19 7 1.635843 4.928571
certainty original eastern 26 21 3 1.487499 4.540000
certainty original western 37 27 12 1.545735 4.276316
conflict original eastern 20 18 12 1.671001 3.940000
conflict original western 56 17 3 1.446775 5.486842
control original eastern 12 20 18 1.656650 3.480000
control original western 43 26 7 1.441916 4.618421
openness original eastern 16 24 10 1.418392 3.780000
openness original western 19 31 26 1.566032 3.381579
size original eastern 19 24 7 1.479658 4.120000
size original western 43 20 13 1.551457 4.421053
unity original eastern 26 21 3 1.388142 4.540000
unity original western 37 27 12 1.586345 4.263158

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 0.1589 0.1786 1
cond1 conflict 0.56 0.0421 * 0.1716
cond1 control 0 *** *** 0.0054 * * 0.0604
cond1 unity 0.0539 0.1334 0.5768
cond1 openness 0.3426 0.4781 1
cond1 size 0.2576 0.371 0.8372
cond2 certainty 0.002 ** * 0.012 * * 0.3186
cond2 conflict 0.2784 0.0164 * * 3e-04 *** **
cond2 control 0.2462 0.3354 0.9681
cond2 unity 6e-04 ** ** 2e-04 *** ** 1
cond2 openness 7e-04 ** ** 0.0345 * 0.1132
cond2 size 0.9553 0.7507 0.1556
original certainty 0.0781 0.3245 0.2332
original conflict 0.6794 0.1621 0.0379 *
original control 0.0127 * * 0.0352 * 0.766
original unity 0.6794 0.9617 0.7182
original openness 0.4476 0.377 1
original size 1 0.3779 0.2397
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 26 29 11 1.480330 4.196970
certainty cond1 western 40 24 12 1.807392 4.500000
conflict cond1 eastern 22 30 14 1.535060 3.833333
conflict cond1 western 30 21 25 1.918470 3.697368
control cond1 eastern 21 26 19 1.534681 3.727273
control cond1 western 52 13 11 1.854487 4.881579
openness cond1 eastern 16 30 20 1.480644 3.500000
openness cond1 western 25 29 22 1.760383 3.684210
size cond1 eastern 31 21 14 1.656027 4.106061
size cond1 western 44 18 14 1.730227 4.578947
unity cond1 eastern 31 28 7 1.438482 4.500000
unity cond1 western 49 22 5 1.609784 4.907895
certainty cond2 eastern 23 32 5 1.212459 4.233333
certainty cond2 western 60 29 3 1.305058 4.989130
conflict cond2 eastern 20 30 10 1.522988 3.950000
conflict cond2 western 22 27 43 1.753128 3.119565
control cond2 eastern 19 25 16 1.589069 3.683333
control cond2 western 39 30 23 1.835149 3.923913
openness cond2 eastern 17 30 13 1.387596 3.800000
openness cond2 western 53 29 10 1.702419 4.739130
size cond2 eastern 40 16 4 1.277798 4.833333
size cond2 western 63 28 1 1.578455 5.445652
unity cond2 eastern 31 27 2 1.167353 4.600000
unity cond2 western 73 15 4 1.345437 5.554348
certainty original eastern 22 26 6 1.216012 4.259259
certainty original western 43 28 3 1.274301 4.783784
conflict original eastern 15 28 11 1.446096 3.722222
conflict original western 17 28 29 1.523602 3.297297
control original eastern 15 26 13 1.400808 3.666667
control original western 38 21 15 1.814010 4.324324
openness original eastern 14 27 13 1.265160 3.722222
openness original western 25 30 19 1.636994 3.756757
size original eastern 38 13 3 1.273281 4.962963
size original western 52 12 10 1.857771 5.027027
unity original eastern 39 12 3 1.303117 5.000000
unity original western 57 15 2 1.396099 5.445946

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 1 0.7218 0.3215
cond1 conflict 1 0.8026 0.9077
cond1 control 0.2899 0.6541 0.0545
cond1 unity 0.6181 0.9334 0.6014
cond1 openness 0.2317 0.9062 0.1555
cond1 size 0.0037 ** * 0.1658 0.0188 *
cond2 certainty 0.8704 1 0.9284
cond2 conflict 0.0891 0.0173 * 0.6794
cond2 control 0.0275 * 0.8268 0.0025 ** *
cond2 unity 0.5348 0.9855 0.4055
cond2 openness 0.3335 0.8268 0.5112
cond2 size 0.4612 0.8351 0.5597
original certainty 0.8583 0.2927 0.2846
original conflict 0.9317 0.6021 0.7996
original control 0.1413 0.6856 0.0509
original unity 0.0728 0.0919 0.848
original openness 0.7672 0.7502 0.1691
original size 0.0768 0.1314 0.7655
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 51 24 7 1.412509 4.829268
certainty cond1 western 28 15 1 1.140268 4.954546
conflict cond1 eastern 25 35 22 1.571540 3.780488
conflict cond1 western 14 17 13 1.648883 3.545454
control cond1 eastern 21 38 23 1.508782 3.536585
control cond1 western 16 23 5 1.363214 4.045454
openness cond1 eastern 36 34 12 1.328412 4.158537
openness cond1 western 25 17 2 1.180130 4.659091
size cond1 eastern 38 32 12 1.518926 4.195122
size cond1 western 33 11 0 1.208453 5.431818
unity cond1 eastern 47 30 5 1.200534 4.646342
unity cond1 western 28 15 1 1.140268 4.954546
certainty cond2 eastern 32 35 7 1.252691 4.337838
certainty cond2 western 25 25 4 1.312734 4.444444
conflict cond2 eastern 37 17 20 1.762090 4.067568
conflict cond2 western 18 24 12 1.707569 3.907407
control cond2 eastern 18 33 23 1.599935 3.351351
control cond2 western 24 26 4 1.449957 4.462963
openness cond2 eastern 19 41 14 1.185186 3.783784
openness cond2 western 19 28 7 1.312734 4.111111
size cond2 eastern 42 23 9 1.435585 4.527027
size cond2 western 35 15 4 1.409759 4.777778
unity cond2 eastern 49 22 3 1.178372 4.851351
unity cond2 western 32 17 5 1.556304 4.740741
certainty original eastern 48 27 5 1.280575 4.825000
certainty original western 39 15 8 1.656677 4.903226
conflict original eastern 19 29 32 1.573314 3.325000
conflict original western 16 19 27 1.735330 3.145161
control original eastern 16 31 33 1.496356 3.162500
control original western 20 27 15 1.661220 3.725807
openness original eastern 47 29 4 1.307234 4.750000
openness original western 34 20 8 1.589894 4.645161
size original eastern 44 30 6 1.419574 4.600000
size original western 44 15 3 1.450123 5.209677
unity original eastern 54 19 7 1.358517 4.950000
unity original western 51 7 4 1.421021 5.306452

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 1e-04 *** *** 0.029 * 0.0709
cond1 conflict 0.0824 0.0571 0.8929
cond1 control 0.411 0.5705 0.0917
cond1 unity 0.0026 ** * 0.3033 0.0074 * *
cond1 openness 0.0157 * * 0.5957 0.0281 *
cond1 size 0.2775 0.2187 0.0013 ** **
cond2 certainty 0.8053 1 0.4912
cond2 conflict 0.0204 * 0.0031 ** * 0.6043
cond2 control 0.6043 0.8914 0.8659
cond2 unity 0.6374 0.7513 1
cond2 openness 0.9781 0.5302 0.427
cond2 size 0.0459 * 0.525 0.0671
original certainty 0.0285 * 0.0034 ** * 0.4823
original conflict 0.2724 1 0.3295
original control 1 0.9903 1
original unity 0.3698 0.2906 1
original openness 0.3576 0.7172 0.6077
original size 0.3777 0.8234 0.0987
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 20 44 16 1.423970 3.812500
certainty cond1 western 24 12 2 1.477426 5.078947
conflict cond1 eastern 16 35 29 1.456055 3.262500
conflict cond1 western 14 9 15 1.995015 3.578947
control cond1 eastern 20 34 26 1.721008 3.487500
control cond1 western 13 19 6 1.668894 4.157895
openness cond1 eastern 28 33 19 1.664550 3.962500
openness cond1 western 23 13 2 1.354619 4.947368
size cond1 eastern 26 33 21 1.532300 3.737500
size cond1 western 17 21 0 1.232560 4.684210
unity cond1 eastern 43 21 16 1.675918 4.337500
unity cond1 western 32 6 0 1.109893 5.894737
certainty cond2 eastern 28 30 6 1.312240 4.265625
certainty cond2 western 23 23 2 1.071678 4.479167
conflict cond2 eastern 16 32 16 1.434326 3.578125
conflict cond2 western 23 10 15 1.845062 4.000000
control cond2 eastern 16 34 14 1.405417 3.656250
control cond2 western 15 24 9 1.485151 3.916667
openness cond2 eastern 28 33 3 1.352448 4.390625
openness cond2 western 22 21 5 1.198218 4.270833
size cond2 eastern 24 29 11 1.464443 4.171875
size cond2 western 28 18 2 1.071057 4.708333
unity cond2 eastern 36 23 5 1.402856 4.484375
unity cond2 western 30 15 3 1.408561 4.875000
certainty original eastern 33 41 10 1.465760 4.178571
certainty original western 27 9 8 1.792632 4.363636
conflict original eastern 22 29 33 1.467324 3.273810
conflict original western 7 15 22 1.845370 2.886364
control original eastern 20 29 35 1.663063 3.297619
control original western 10 16 18 1.708702 3.318182
openness original eastern 41 25 18 1.650640 4.214286
openness original western 26 11 7 1.860914 4.454546
size original eastern 30 35 19 1.715576 3.857143
size original western 20 20 4 1.437934 4.454546
unity original eastern 51 26 7 1.423917 4.857143
unity original western 31 9 4 1.641655 5.159091

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 1 1 0.9425
cond1 conflict 0.0838 0.1082 0.9109
cond1 control 0.3007 0.9836 0.0643
cond1 unity 0.9318 0.9944 1
cond1 openness 0.1537 0.5958 0.6602
cond1 size 0.0224 * 0.197 0.2854
cond2 certainty 0.6006 0.6968 1
cond2 conflict 0.7811 1 0.6071
cond2 control 0.9518 0.0198 * 0.0252 *
cond2 unity 0.7769 0.5083 0.7737
cond2 openness 0.453 0.085 2e-04 *** **
cond2 size 0.541 0.2727 0.6729
original certainty 1 0.9484 0.733
original conflict 0.5622 0.3242 0.77
original control 0.2872 1 0.2827
original unity 0.3057 0.7973 0.3531
original openness 0.3667 0.2077 0.7594
original size 0.9118 0.42 0.4043
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 25 17 6 1.469398 4.395833
certainty cond1 western 36 25 7 1.496557 4.617647
conflict cond1 eastern 21 18 9 1.770398 4.187500
conflict cond1 western 42 15 11 1.590688 4.647059
control cond1 eastern 22 16 10 1.836273 4.229167
control cond1 western 39 24 5 1.493621 4.911765
openness cond1 eastern 6 23 19 1.477971 3.166667
openness cond1 western 17 28 23 1.505259 3.367647
size cond1 eastern 13 25 10 1.292196 3.770833
size cond1 western 34 26 8 1.440052 4.529412
unity cond1 eastern 27 15 6 1.457282 4.437500
unity cond1 western 40 20 8 1.528411 4.691177
certainty cond2 eastern 21 27 6 1.349612 4.092593
certainty cond2 western 36 59 13 1.251790 3.944444
conflict cond2 eastern 25 18 11 1.694320 4.185185
conflict cond2 western 54 37 17 1.511093 4.157407
control cond2 eastern 17 14 23 1.805826 3.277778
control cond2 western 32 50 26 1.414550 3.712963
openness cond2 eastern 17 21 16 1.789108 3.685185
openness cond2 western 42 59 7 1.227462 4.231482
size cond2 eastern 30 16 8 1.513046 4.444444
size cond2 western 53 43 12 1.385624 4.379630
unity cond2 eastern 31 19 4 1.455729 4.648148
unity cond2 western 66 31 11 1.621160 4.768518
certainty original eastern 28 25 5 1.273419 4.465517
certainty original western 31 27 8 1.451950 4.212121
conflict original eastern 19 28 11 1.515398 3.862069
conflict original western 26 25 15 1.746458 3.893939
control original eastern 11 25 22 1.527030 3.189655
control original western 19 29 18 1.623258 3.636364
openness original eastern 23 25 10 1.311220 4.000000
openness original western 20 37 9 1.455798 3.939394
size original eastern 27 23 8 1.386566 4.275862
size original western 29 32 5 1.264542 4.303030
unity original eastern 42 12 4 1.234707 4.862069
unity original western 41 16 9 1.795683 4.772727

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 5e-04 ** ** 2e-04 *** ** 0.9817
cond1 conflict 1 0.0152 * * 0.0128 * *
cond1 control 0.4658 0.145 0.5141
cond1 unity 0.0652 0.0848 1
cond1 openness 0.6125 0.8378 0.9271
cond1 size 6e-04 ** ** 0.0038 ** * 0.3482
cond2 certainty 0.6776 0.7764 0.2646
cond2 conflict 0.1919 0.236 0.9661
cond2 control 0.0749 0.5405 0.2187
cond2 unity 1 0.1646 0.0597
cond2 openness 0.917 0.6318 0.8083
cond2 size 0.1994 0.8274 0.1348
original certainty 1 0.8742 0.8203
original conflict 0.248 1 0.2679
original control 0.0753 0.5807 0.1868
original unity 1 0.6044 0.3496
original openness 0.8032 1 0.6716
original size 0.9885 0.5564 0.2883
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 6 25 1 0.9837388 4.000000
certainty cond1 western 53 36 5 1.2818355 4.723404
conflict cond1 eastern 9 19 4 1.1773227 3.968750
conflict cond1 western 27 31 36 1.6651789 3.255319
control cond1 eastern 8 18 6 1.3781123 3.812500
control cond1 western 32 37 25 1.5423926 3.712766
openness cond1 eastern 9 17 6 1.3912167 3.750000
openness cond1 western 33 46 15 1.3676660 3.978723
size cond1 eastern 10 19 3 1.2700013 4.000000
size cond1 western 64 27 3 1.2045441 4.893617
unity cond1 eastern 18 12 2 1.2031545 4.687500
unity cond1 western 71 19 4 1.4666661 5.308511
certainty cond2 eastern 20 17 5 1.4564925 4.309524
certainty cond2 western 43 37 22 1.8048878 4.098039
conflict cond2 eastern 19 16 7 1.6303239 4.309524
conflict cond2 western 60 27 15 1.7964784 4.686274
control cond2 eastern 10 22 10 1.5505422 3.714286
control cond2 western 42 46 14 1.5178035 4.205882
openness cond2 eastern 6 26 10 1.1519312 3.452381
openness cond2 western 17 57 28 1.4595098 3.441177
size cond2 eastern 17 18 7 1.4450846 4.095238
size cond2 western 55 40 7 1.4510722 4.666667
unity cond2 eastern 21 19 2 1.2337209 4.452381
unity cond2 western 51 32 19 1.7358016 4.274510
certainty original eastern 15 9 4 1.4456649 4.357143
certainty original western 49 26 17 1.6861695 4.445652
conflict original eastern 12 5 11 1.9145088 3.964286
conflict original western 53 15 24 1.9632006 4.445652
control original eastern 8 12 8 1.8527114 3.607143
control original western 46 32 14 1.6505512 4.391304
openness original eastern 8 13 7 1.4493202 3.785714
openness original western 22 41 29 1.5457662 3.369565
size original eastern 13 8 7 1.6634890 4.214286
size original western 45 34 13 1.6343702 4.293478
unity original eastern 17 10 1 1.0615951 4.642857
unity original western 55 26 11 1.6369990 4.684783

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 0.8133 0.4589 0.5912
cond1 conflict 0.0922 0.1034 1
cond1 control 1 0.8922 0.7988
cond1 unity 0.5737 1 0.4694
cond1 openness 0.3281 0.4205 1
cond1 size 0.0812 0.4497 0.2383
cond2 certainty 0.0869 0.8063 0.0557
cond2 conflict 0.0331 * 0.7037 0.006 * *
cond2 control 0.5106 0.2504 0.0418 *
cond2 unity 0.0777 0.1419 0.6586
cond2 openness 0.1619 0.9255 0.0599
cond2 size 0.1467 0.8245 0.1419
original certainty 0.4254 0.3547 1
original conflict 0.4076 0.0602 0.0029 ** *
original control 0.2202 0.0139 * * 0.1063
original unity 0.8419 0.2339 0.1899
original openness 0.6097 0.2249 0.4817
original size 0.687 0.4775 0.7879
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 27 11 4 1.388730 4.785714
certainty cond1 western 47 27 4 1.263818 4.679487
conflict cond1 eastern 13 17 12 1.435408 3.476190
conflict cond1 western 38 19 21 1.837559 4.000000
control cond1 eastern 12 17 13 1.433788 3.571429
control cond1 western 23 34 21 1.630544 3.794872
openness cond1 eastern 18 17 7 1.586089 4.142857
openness cond1 western 25 39 14 1.524634 3.987179
size cond1 eastern 17 16 9 1.379289 4.000000
size cond1 western 46 23 9 1.650639 4.717949
unity cond1 eastern 29 6 7 1.670437 4.880952
unity cond1 western 59 11 8 1.610819 5.282051
certainty cond2 eastern 17 14 9 1.717930 4.150000
certainty cond2 western 51 26 7 1.489493 4.785714
conflict cond2 eastern 20 14 6 1.599479 4.425000
conflict cond2 western 24 25 35 1.831194 3.178571
control cond2 eastern 13 9 18 1.800285 3.300000
control cond2 western 34 29 21 1.898757 3.904762
openness cond2 eastern 9 17 14 1.709513 3.475000
openness cond2 western 31 38 15 1.594373 3.988095
size cond2 eastern 20 11 9 1.739253 4.275000
size cond2 western 55 20 9 1.589688 4.750000
unity cond2 eastern 27 9 4 1.453334 4.875000
unity cond2 western 70 9 5 1.484090 5.547619
certainty original eastern 33 20 3 1.344542 4.714286
certainty original western 55 22 5 1.337449 4.963415
conflict original eastern 21 26 9 1.354046 4.053571
conflict original western 24 24 34 1.776931 3.317073
control original eastern 16 36 4 1.197264 3.946429
control original western 33 34 15 1.582662 4.036585
openness original eastern 14 32 10 1.306204 3.696429
openness original western 25 37 20 1.590774 3.707317
size original eastern 30 24 2 1.173296 4.571429
size original western 48 29 5 1.392110 4.707317
unity original eastern 44 7 5 1.368358 4.982143
unity original western 62 18 2 1.371902 5.475610

## Saving 7 x 5 in image

condition group high_comp adjusted_high_comp med_comp adjusted_med_comp low_comp adjusted_low_comp
cond1 certainty 0.0522 0.0216 * 0.9289
cond1 conflict 0.9622 0.9634 1
cond1 control 0.7424 1 0.545
cond1 unity 0.2214 0.2556 1
cond1 openness 0.6554 0.7101 0.1126
cond1 size 0.0303 * 1 7e-04 ** **
cond2 certainty 0.5596 0.1754 0.1943
cond2 conflict 0.4032 0.5239 0.975
cond2 control 0.0023 ** * 0.8215 0 *** ***
cond2 unity 0.0536 0.0424 * 1
cond2 openness 0.8792 0.1015 0.0118 * *
cond2 size 0.0357 * 0.0164 * * 1
original certainty 0.906 0.791 0.2142
original conflict 3e-04 *** ** 0.0579 0.2014
original control 0.6191 0.2606 0.0129 * *
original unity 0.0101 * * 0.0453 * 0.3513
original openness 0.0798 1 0.013 * *
original size 0.0092 * * 0.0415 * 0.2977
group condition viewer_culture ahigh bmedium clow sd avg
certainty cond1 eastern 36 8 4 1.268830 4.916667
certainty cond1 western 45 30 5 1.247719 4.612500
conflict cond1 eastern 17 22 9 1.359071 3.937500
conflict cond1 western 30 35 15 1.437297 3.900000
control cond1 eastern 17 23 8 1.260418 3.833333
control cond1 western 32 39 9 1.462127 4.162500
openness cond1 eastern 13 27 8 1.425297 3.729167
openness cond1 western 26 49 5 1.202253 4.187500
size cond1 eastern 27 10 11 1.623738 4.208333
size cond1 western 61 17 2 1.149505 5.087500
unity cond1 eastern 29 16 3 1.443376 4.791667
unity cond1 western 58 18 4 1.190415 4.975000
certainty cond2 eastern 22 14 4 1.393897 4.425000
certainty cond2 western 37 39 2 1.337738 4.717949
conflict cond2 eastern 16 17 7 1.414214 4.000000
conflict cond2 western 39 27 12 1.592732 4.333333
control cond2 eastern 11 17 12 1.645507 3.600000
control cond2 western 46 30 2 1.158515 4.730769
openness cond2 eastern 10 17 13 1.428645 3.600000
openness cond2 western 22 47 9 1.312673 3.935897
size cond2 eastern 19 18 3 1.393897 4.425000
size cond2 western 54 17 7 1.381638 4.987179
unity cond2 eastern 18 19 3 1.392286 4.400000
unity cond2 western 51 21 6 1.439419 4.923077
certainty original eastern 22 12 4 1.407155 4.578947
certainty original western 56 33 3 1.277352 4.804348
conflict original eastern 19 13 6 1.443088 4.157895
conflict original western 16 50 26 1.369023 3.336956
control original eastern 12 15 11 1.778847 3.605263
control original western 35 48 9 1.459560 4.184783
openness original eastern 7 22 9 1.407155 3.578947
openness original western 33 53 6 1.227327 4.206522
size original eastern 16 19 3 1.275661 4.315790
size original western 63 27 2 1.322514 5.141304
unity original eastern 18 16 4 1.397010 4.315790
unity original western 67 21 4 1.428667 5.260870